Financial Engineer for Quantitative AI Platform Description

Join a boutique quantamental hedge fund with a 30-year winning track record. Work with a small team to translate proprietary trading IP into an AI/ML powered agentic platform. Disrupt a mature industry and redefine how our strategies are executed.

You will work directly with senior investment professionals to systematize our investment methodology. Your focus will be on high value deliverables that translate investment logic into AI/ML ready requirements for platform build and validation.

• Help build and operate a comprehensive data lake
• Translate legacy IP into AI rulesets using advanced prompt engineering and LLM orchestration
• Architect industry-specific quantitative models and factor definitions
• Define and oversee rigorous model validation to ensure financial accuracy
• Discover and codify combinatorial factor relationships consistent with our proprietary approach

• 3+ years in a quantitative finance role
• Strong Python skills across data engineering, finance, and AI/ML (e.g., pandas, NumPy, SQLAlchemy, QuantLib, PyTorch)
• Clear communicator who partners well with engineering and research
• Experience with financial modeling, risk attribution, and systematic strategy design
• Familiarity with CI/CD, testing frameworks, and Python packaging
• Proficiency in integrating AI/ML for financial workflows

• Advanced degree in Finance, Economics, Statistics, or Mathematics
• NLP and LLM integration (RAG, agentic architectures, prompt chaining, output parsing)
• Background at quantitative hedge fund or systematic investment firm
• Vector database implementation (e.g., Pinecone, Weaviate, Milvus)
• Unstructured data extraction and transformation pipelines
• Statistical testing and attribution modeling

• Competitive salary plus participation in fund performance
• Direct collaboration with fund principals
• Your work will create measurable value in live investment strategies

Apply below or email your resume to betsy@fullertonlp.com.